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A Parallelizable Heuristic for Solving the Generic Materials and Operations Planning in a Supply Chain Network: A Case Study from the Automotive Industry

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A Parallelizable Heuristic for Solving the Generic Materials and Operations Planning in a Supply Chain Network: A Case Study from the Automotive Industry

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dc.contributor.author Maheut ., Julien Philippe es_ES
dc.contributor.author García Sabater, José Pedro es_ES
dc.date.accessioned 2018-02-24T05:02:55Z
dc.date.available 2018-02-24T05:02:55Z
dc.date.issued 2013 es_ES
dc.identifier.issn 1868-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/98403
dc.description.abstract [EN] A trend in up-to date developments in multi-site operations planning models is to consider in details the different ways to produce, buy or transport products and the distributed decision-making process for operations planning. One of the most generic approaches to support global optimization in those supply chain networks by considering all the different operations alternatives and product structures is the Generic Materials & Operations Planning Problem. This problem can be modelled by a Mixed Integer Linear Programming model capable of considering production, transportation, procurement tasks and their alternatives and other relevant issues such as packaging. The aim of this paper is to introduce the implementation of a parallelizable heuristic method for materials and operations planning and its application to a case of a Supply Chain Network of the automotive industry. The approach uses variants of the GMOP model to overcome traditional MRP systems' limitations. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof IFIP Advances in Information and Communication Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Operations Planning es_ES
dc.subject MRP es_ES
dc.subject Generic Materials & Operations Planning es_ES
dc.subject Mixed Integer Linear Programming es_ES
dc.subject Supply Network es_ES
dc.subject Automotive Industry es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification INGENIERÍA DE ORGANIZACIÓN (UPV) es_ES
dc.title A Parallelizable Heuristic for Solving the Generic Materials and Operations Planning in a Supply Chain Network: A Case Study from the Automotive Industry es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-642-40352-1_20 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Maheut ., JP.; García Sabater, JP. (2013). A Parallelizable Heuristic for Solving the Generic Materials and Operations Planning in a Supply Chain Network: A Case Study from the Automotive Industry. IFIP Advances in Information and Communication Technology. 397:151-157. doi:10.1007/978-3-642-40352-1_20 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename International Conference on Advances in Production Management Systems (APMS 2012) es_ES
dc.relation.conferencedate September 24-26,2012 es_ES
dc.relation.conferenceplace Rodas, Grecia es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-642-40352-1_20 es_ES
dc.description.upvformatpinicio 151 es_ES
dc.description.upvformatpfin 157 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 397 es_ES
dc.relation.pasarela S\246542 es_ES
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